Makarovaite, Viktorija, Hillier, Aaron, Holder, Simon J., Gourlay, Campbell W., Batchelor, John C. (2020) Passive UHF RFID Voice Prosthesis Mounted Sensor for Microbial Growth Detection. IEEE Journal of Radio Frequency Identification, 4 (4). pp. 384-390. ISSN 2469-7281. E-ISSN 2469-729X. (doi:10.1109/JRFID.2020.3011900) (KAR id:82279)
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Official URL: http://dx.doi.org/10.1109/JRFID.2020.3011900 |
Abstract
Capacitive loading due to human tissue can lead to low efficiency for implantable Passive Radio Frequency Identification (RFID) antennas. The presented passive UHF antenna sensor provides read distances above 0.5 meters (within a body phantom) by utilizing a convoluted half-wave dipole design. It is able to detect simulated early to mature Candida albicans biofilm growth when mounted upon a voice prosthesis (up to a 30 μm biofilm thickness). Depending on the propagation frequency of interest, as early 4-hour growth (5 to 10 μm biofilm thickness) equivalent could be detected and before any device failure could occur due to the colonization. This was accomplished by utilising thin layers of polyurethane to decouple the saliva from the presented UHF sensor (biofilm growth is known to increase layer hydrophobicity). This presented sensor has better functionality within the US UHF frequency band as it detects changes above 5 μm. If there is a need for implantation within additional tissues with variable dielectric properties, a shunt capacitance of 2.6 pF could allow the system functionality within the permittivity range of 21 to 58. Allowing for immediate medical intervention before medical prosthesis failure
Item Type: | Article |
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DOI/Identification number: | 10.1109/JRFID.2020.3011900 |
Uncontrolled keywords: | Radiofrequency identification, Phantoms, Dielectrics, Neck, Prosthetics , Dielectric measurement, Integrated circuits, UHF, Implantable ,Design, Sensor, Microbial detection |
Subjects: | Q Science > Q Science (General) |
Divisions: |
Divisions > Division of Natural Sciences > Biosciences Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts Divisions > Division of Natural Sciences > Physics and Astronomy |
Funders: | Engineering and Physical Sciences Research Council (https://ror.org/0439y7842) |
Depositing User: | John Batchelor |
Date Deposited: | 29 Jul 2020 15:25 UTC |
Last Modified: | 05 Nov 2024 12:48 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/82279 (The current URI for this page, for reference purposes) |
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